Michael Man
Impact in
- Oncology top 10%
- Pancreatic and Hepatic Oncology Research
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
- Statistics and Probability top 5%
- Statistical Methods in Clinical Trials
Papers in
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- Gene expression and cancer classification 3
- TGF-β signaling in diseases 2
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- Pharmacogenetics and Drug Metabolism 3
- Co-authors
- Xuning Wang (1 shared paper)Yixin Wang (1 shared paper)Wei‐Yin Loh (3 shared papers)Xu He (1 shared paper)Karim A. Benhadji (7 shared papers)Shawn T. Estrem (6 shared papers)Sandra Close (3 shared papers)Gyu Jeong Noh (1 shared paper)
- Journals
- Statistics in Medicine (3 papers)PLoS ONE (2 papers)BMC Cancer (2 papers)Journal of Clinical Oncology (1 paper)BMC Genetics (1 paper)
- Partner nations
- United StatesItalyFrance
In The Last Decade
Michael Man
24 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 120
- Oncology 313
- Statistics and Probability 90
- Pharmacology 82
- Cancer Research 98
- Immunology 129
Countries citing papers authored by Michael Man
This map shows the geographic impact of Michael Man's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael Man with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Man more than expected).
Fields of papers citing papers by Michael Man
This network shows the impact of papers produced by Michael Man. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael Man. The network helps show where Michael Man may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Man, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 173 | |
| 2 | 2021 | 157 | |
| 3 | 2000 | 128 | |
| 4 | 2015 | 111 | |
| 5 | 2019 | 78 | |
| 6 | 2020 | 49 | |
| 7 | 2007 | 46 | |
| 8 | 2023 | 43 | |
| 9 | 2004 | 43 | |
| 10 | 2002 | 40 | |
| 11 | 2007 | 31 | |
| 12 | 2019 | 26 | |
| 13 | 2017 | 25 | |
| 14 | 2015 | 23 | |
| 15 | 2006 | 20 | |
| 16 | 2016 | 16 | |
| 17 | 2004 | 12 | |
| 18 | 2013 | 7 | |
| 19 | 2018 | 6 | |
| 20 | 2018 | 4 |
About Michael Man
Michael Man is a scholar working on Molecular Biology, Pharmacology, Statistics and Probability, Oncology and Surgery, having authored 24 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (4 papers), Statistical Methods in Clinical Trials (4 papers), Pharmacogenetics and Drug Metabolism (3 papers), Gene expression and cancer classification (3 papers), Statistical Methods and Inference (3 papers), Pancreatic and Hepatic Oncology Research (2 papers), TGF-β signaling in diseases (2 papers) and Lipoproteins and Cardiovascular Health (2 papers). The work is most often cited by research in Oncology (313 citations), Statistics and Probability (90 citations), Pharmacology (82 citations), Cancer Research (98 citations) and Immunology (129 citations). Michael Man has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Xuning Wang, Yixin Wang, Wei‐Yin Loh, Xu He, Karim A. Benhadji, Shawn T. Estrem, Sandra Close, Gyu Jeong Noh, Shin Irie and Carmen M. Dumaual. Their work appears in journals such as Statistics in Medicine, PLoS ONE, BMC Cancer, Journal of Clinical Oncology and BMC Genetics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.